Research

Research

Brain Wave Signal (EEG) of NeuroSky, Inc.

Raw EEG signals with dry electrodes of NeuroSky system were compared to those with wet electrodes with Biopac system. FFTs were performed to compare signal characteristics of the EEGs, especially power spectrums. Results show that EEG signals of NeuroSky system … Read More

Research

Exploration of the Effect of Electroencephalograph Levels in Experienced Archers

This preliminary study aims to record the brainwaves of two experienced archers, while undertaking the process of aiming and shooting arrows at a target. The brainwaves are then analysed for repeatability and dominant characteristics within individual electroencephalograph activity. Images of … Read More

Research

Evaluation of Attention and Relaxation Levels of Archers in Shooting Process using Brain Wave Signal Analysis Algorithms

Archer’s capability of attention and relaxation control during shooting process was evaluated using EEG technology. Attention and meditation algorithms were used to represent the levels of mental concentration and relaxation levels. Elite, mid-level, and novice archers were tested for short … Read More

Research

A Brain-Computer Interface Based Attention Training Program for Treating Attention Deficit Hyperactivity

Attention deficit hyperactivity disorder (ADHD) symptoms can be difficult to treat. We previously reported that a 20-session brain-computer interface (BCI) attention training programme improved ADHD symptoms. Here, we investigated a new more intensive BCI-based attention training game system on 20 … Read More

Research

INTEGRATION OF ELECTROENCEPHALOGRAPHY BASED SERVICES INTO CONSUMER ELECTRONICS

Commercialized electroencephalography (EEG) sensors are available that one could extract EEG data more cheaply and more easily. As commercialized EEG sensors can be used commonly, the services that could be provided using EEG and interactions that can be achieved by … Read More

Research

What’s on your mind? Mental Task Awareness Using Single Electrode Brain Computer Interfaces

Recognizing and summarizing persons’ activities have proven to be effective for increasing self-awareness and enable to improve habits. Reading improves one’s language skills and periodic relaxing improves one’s health. Recognizing these activities and conveying the time spent would enable to … Read More

Research

Dynamic Time Warping: A Single Dry Electrode EEG Study in a Self-paced Learning Task

This study investigates dynamic time warping (DTW) as a possible analysis method for EEG-based affective computing in a self-paced learning task in which inter- and intrapersonal differences are large. In one experiment, participants (N=200) carried out an implicit category learning … Read More

Research

Detection of Media Enjoyment using Single-Channel EEG signal

We propose to use real-time single-channel EEG signal to quantify user enjoyment level elicited by media content. Selected time-frequency components from single-channel frontal EEG were extracted and formed a statistical multivariate model predicting user enjoyment level. Frequency components from Theta, … Read More

Research

Evaluation of Mental Workload in Visual4Motor Task: Spectral Analysis of Single4Channel Frontal EEG

This study explores the feasibility of mental workload monitoring using a single-channel mobile EEG system. We investigated the modulation of frontal neural activity with respect to changes in mental workload levels induced by visual8 motor tasks of varied difficulty. Using … Read More

Research

Spectral Modulation of Frontal EEG Activities During Motor Skill Acquisition

This study investigates the modulation of frontal EEG dynamics with respect to progress in motor learning. Using a computerized visual-motor task similar to mirror drawing, our work demonstrated that overall EEG activities in all frequency bands decreased with an increase … Read More